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Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance

Author: Chengjun Liu

Date: May 2006

IEEE PAMI,

Abstract:

A novel pattern recognition framework which integrates Gabor image representation, a novel multiclass Kernel Fisher Analysis (KFA) method, and fractional power polynomial models for improving pattern performance is presented.

Background

Feature extraction in pattern recognition needs to consider the effectiveness on both data representation and class separability.

Kernel Fisher Analysis